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计算机视觉中心 - 02 行人数据集(CVC-02 Pedestrian
Dataset)
数据介绍:
CVC-02 consists of three subsets, each one focused on a different task
of pedestrian detection: candidate generation, classification and system
evaluation. The imagery has been recorded in urban scenarios around
Barcelona (Spain), using a Bumblebee color stereo camera with
resolution 640x480 pixels and 6mm focal length. The annotated
pedestrians are in the range from 0 to 50 m from the camera, which
corresponds to a smallest pedestrian of 12x24 pixels. The main features
of each subset are the following:
关键词:
子集,行人,检测,分类,情景,
subsets,pedestrian,detection,classification,scenarios,
数据格式:
IMAGE
数据详细介绍:
CVC-02 Pedestrian Dataset
CVC-02 consists of three subsets, each one focused on a different task of
pedestrian detection: candidate generation, classification and system
evaluation. The imagery has been recorded in urban scenarios around
Barcelona (Spain), using a Bumblebee color stereo camera with resolution
640x480 pixels and 6mm focal length. The annotated pedestrians are in the
range from 0 to 50 m from the camera, which corresponds to a smallest
pedestrian of 12x24 pixels. The main features of each subset are the following:
CVC-02-CG (Candidate Generation): 100 frames in color, depth and 3D points
information.
CVC-02-Classification: training (1016 cropped positives and mirrors, 7650
cropped negatives and pedestrian-free images), testing set (window-based,
with 570 cropped positives and mirrors, 7500 cropped negatives and
pedestrian-free images) and testing set (image-based, with 250 frames
containing 587 annotated pedestrians).
CVC-02-System: 15 sequences of 4364 frames, 7983 pedestrian annotations.
All
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